@inproceedings{8dead651-d0ad-4e75-83db-ecb18ab1a3be,
abstract = {Video content constitutes a large share of residential<br/><br>
Internet traffic. The major source of video content as of today is<br/><br>
YouTube. In this paper, we analyse the user demand patterns for<br/><br>
YouTube in two metropolitan access networks with more than 1<br/><br>
million requests over three consecutive weeks in the first network<br/><br>
and more than 600,000 requests over four consecutive weeks in<br/><br>
the second network.<br/><br>
In particular we examine the existence of “local interest<br/><br>
communities”, i.e. the extent to which users living closer to each<br/><br>
other tend to request the same content to a higher degree, and<br/><br>
it is found that this applies to (i) the two networks themselves;<br/><br>
(ii) regions within these networks (iii) housholds with regions<br/><br>
and (iv) terminals within households. We also find that different<br/><br>
types of access devices (PCs and handhelds) tend to form similar<br/><br>
interest communities.<br/><br>
It is also found that repeats are (i) “self-generating” in the<br/><br>
sense that the more times a clip has been played, the higher the<br/><br>
probability of playing it again, (ii) “long-lasting” in the sense<br/><br>
that repeats can occur even after several days and (iii) “semiregular”<br/><br>
in the sense that replays have a noticeable tendency to<br/><br>
occur with relatively constant intervals.<br/><br>
The implications of these findings are that the benefits from<br/><br>
large groups of users in terms of caching gain may be exaggerated,<br/><br>
since users are different depending on where they live and<br/><br>
what equipment they use, and that high gains can be achieved<br/><br>
in relatively small groups or even for individual users thanks to<br/><br>
their relatively predicatable behaviour.},
author = {Arvidsson, Åke and Du, Manxing and Aurelius, Andreas and Kihl, Maria},
language = {eng},
location = {Shanghai, China},
publisher = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
title = {Analysis of User Demand Patterns and Locality for Youtube traffic},
year = {2013},
}